Lead Analytics Engineer, Spendesk
IC5
Salary not provided
SQL
TypeScript
Node.js
Snowflake
Semantic
dbt
Senior and Expert level
Barcelona
Paris
Company spend management platform
Posted today
Company spend management platform
201-500 employees
FintechB2BPaymentsFinancial ServicesSaaS
Posted today
Salary not provided
SQL
TypeScript
Node.js
Snowflake
Semantic
dbt
Senior and Expert level
Barcelona
Paris
201-500 employees
FintechB2BPaymentsFinancial ServicesSaaS
Company mission
To liberate businesses and people to do their best work.
Role
Who you are
- You have significant experience in software engineering, data engineering, analytics engineering, or data platform engineering, with a strong track record of delivering complex technical projects in production
- You have already operated as a Tech Lead, Staff Engineer, Senior Engineer with strong leadership responsibilities, or Engineering Team Lead. You are comfortable guiding engineers, making architecture decisions, and creating alignment across technical and non-technical stakeholders
- You have experience working closely with Product Managers or Data Product Managers, and you understand how to turn ambiguous business goals into pragmatic technical plans
- Experience in B2B SaaS, fintech, or regulated environments is a plus, but not required
- Modern data platforms, including warehouses, transformation layers, BI, semantic layers, and observability
- Data modeling, data quality, governance, documentation, and metric consistency
- Backend or platform engineering, ideally with TypeScript, Node.js, event-driven systems, APIs, or cloud infrastructure
- Dbt, Snowflake, SQL, CI/CD, GitHub workflows, testing, and production ownership
- Tracking systems, event collection, or data contracts
- AI-enabled tooling or a strong interest in using AI to improve data access and engineering delivery
- You do not need to be equally deep in backend, data engineering, and analytics engineering, but you should be able to reason across these domains, ask the right questions, and guide specialists toward coherent technical decisions
- You are hands-on, pragmatic, and outcome-driven. You care about clean architecture and strong engineering standards, but you know how to sequence work and avoid over-engineering
- You are a strong communicator who can explain technical topics clearly to engineers, product stakeholders, and business teams. You are comfortable navigating ambiguity, making trade-offs, and creating clarity for others
- You enjoy mentoring engineers and helping teams improve the way they work. You lead by example, with curiosity, kindness, ownership, and a bias for action
- You are fluent in written and spoken English, our business language
What the job involves
- As Tech Lead Core Data, you will be the technical and delivery anchor of the squad
- You will partner closely with the Data Product Manager to shape the squad roadmap, translate strategic data initiatives into executable plans, and ensure the team delivers high-impact outcomes on time
- While the PM will remain the main owner of external stakeholder communication and discovery, you will drive the squad’s internal operating rhythm: planning, refinements, technical breakdown, delivery follow-up, rituals, and continuous improvement
- You will also work very closely with the Head of Data to align the squad’s technical roadmap with Spendesk’s broader data strategy
- Over the next 12 months, your main challenges will include:
- Leading the complete redesign of Spendesk’s core data model to create a clean, scalable, trusted foundation
- Supporting the migration to a new BI tool and the rationalization of existing dashboards and reporting assets
- Improving data quality, observability, documentation, and governance across the platform
- Helping implement AI-powered tooling to make data easier to access and use across the company
- Driving the full revamp of tracking and event collection in collaboration with product and engineering squads
- Improving the squad’s delivery practices, including better planning, clearer ownership, and the use of AI to accelerate execution
- Supporting recruitment, onboarding, and the growth of engineers in the squad
- You will define and drive the technical direction of the Core Data squad. This includes shaping the architecture of our data platform, from ingestion and tracking to transformation, semantic modeling, BI, and data exposure
- You will lead design discussions for new pipelines, models, services, tracking systems, and integrations. You will ensure that the squad makes pragmatic, scalable, and cost-effective technical decisions, with clear trade-offs between speed, reliability, governance, security, and long-term maintainability
- You will remain close to implementation: writing or reviewing code, dbt models, infrastructure changes, technical designs, and helping debug complex issues when needed. You will be expected to raise the quality bar across software engineering, data engineering, and analytics engineering practices
- You will help rebuild Spendesk’s core data model into a clean, consistent, and trusted foundation for analytics, product insights, operational reporting, and AI use cases
- You will drive standards around data modeling, naming conventions, ownership, contracts, documentation, and testing. You will help ensure critical datasets have clear SLAs or SLOs, proper observability, and well-defined incident or escalation processes where needed
- You will work closely with Analytics Engineers, the Data Engineer, the Software Engineer, and domain teams to reduce duplication, prevent metric fragmentation, and make shared data assets easier to discover, understand, and reuse
- You will co-own the squad roadmap with the Data Product Manager and turn strategic initiatives into clear delivery plans. You will help break down complex technical topics into milestones, epics, and actionable tickets, while ensuring scope, risks, dependencies, and deadlines are well understood
- You will be responsible for improving the squad’s delivery rhythm. This includes facilitating or co-facilitating planning, refinements, technical reviews, delivery follow-up, retrospectives, and internal squad communication
- You will also help the team balance long-term foundational work with business-as-usual needs, urgent fixes, migrations, and stakeholder requests. Your role will be to make trade-offs explicit and ensure the squad remains focused on outcomes rather than just output
- You will mentor and support engineers across the squad, helping them grow technically and increase their impact. You will provide regular guidance through pair programming, design reviews, code reviews, feedback, and coaching
- You will help set high standards while fostering a collaborative, low-ego, and psychologically safe team environment. Depending on the squad setup, you may also support some people-related or administrative responsibilities, such as onboarding, performance input, development plans, or recruitment support
- You will play an active role in hiring and onboarding new team members, especially as the squad continues to scale
- You will work hand-in-hand with the Data Product Manager and Head of Data, and collaborate closely with product squads, engineering leaders, finance, RevOps, and other business teams consuming or contributing to Spendesk’s data products
- You will help translate business and product needs into robust technical solutions, while also making technical constraints and risks understandable to non-technical stakeholders
- Internally, you will act as the main technical reference for the squad. Externally, you will support the PM in communicating roadmap decisions, dependencies, risks, and delivery progress when technical clarity is needed
Our take
Spendesk is an all-in-one spend management solution created to deliver more control, visibility, and automation to today's finance teams. Top startups like Drivy, Konbini, Dataiku or Deezer are already customers of Spendesk.
With flexible payments, approvals, automated receipt capture and real-time spend insights, the company specifically allows finance teams to decentralise operational spending across the business without any loss of control or visibility. Employees benefit from streamlined expense and invoice management through the Spendesk website and app.
Expense management platforms are becoming an increasingly crowded space, with competitors like Soldo and Expensify also building similar products. Spendesk will have to keep innovating its offerings to stay relevant. But with substantial funding to its name along with a number of strategic partnerships (including Visa), the company is making sure it stays ahead of the competition.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Top investors
53% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jan 2022
$116.3m
SERIES C
Jul 2021
$116.3m
SERIES C
Total funding: $300.7m
Company benefits
- Transport reimbursement: Monthly contributions to your transport card (metro, bus or train)
- Offsites and events: Regular team events to exchange with other Spendeskers and get to know each other better
- Annual leave: 28 days per year to rest and relax
- €50 on your Spendesk card: To buy anything you need for work
- For Spendeskers with kids: Generous parental leave & a lot of flexibility for working parents
- Great offices: In the hearts of Berlin, London, Madrid, and Paris
Company HQ
L'Europe, Paris, France
Leadership
Axel Demazy
(CEO)Joined Spendesk in 2024 as CEO. Prior to this, they spent over 4 years at Jellsmack as the COO and General Manager and over 8 years at the Boston Consulting Group as a Partner.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 17 more jobs at Spendesk